code: def forward(self, x):
      y = x.clone()
  
      # Local representations
      x = self.conv1(x)
      x = self.conv2(x)
  
      # Global representations
      _, _, h, w = x.shape
      x = rearrange(
          x,
          "b d (h ph) (w pw) -> b (ph pw) (h w) d",
          ph=self.ph,
          pw=self.pw,
      )
      x = self.transformer(x)
      x = rearrange(
          x,
          "b (ph pw) (h w) d -> b d (h ph) (w pw)",
          h=h // self.ph,
          w=w // self.pw,
          ph=self.ph,
          pw=self.pw,
      )
  
      # Fusion
      x = self.conv3(x)
      x = torch.cat((x, y), 1)
      x = self.conv4(x)
      return x
  
imports: import torch
  import torch.nn
  from einops import rearrange
  from einops.layers.torch import Reduce
label_desc: Use image node_id 2 for calling the MobileViTBlock obj's underlying member method code with example usage: obj.forward(x) and returns: x